M. Dadgostar - Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
S. K. Setarehdan - Department of Electrical and Computer Engineering, University of Tehran, Tehran, Iran
A. Akin - Institute of Biomedical Engineering,Bogazici University, Istanbul, Turkey.

fNIRS signal are prone to body movement artifacts that present themselves in various distortions on the raw data. Precise and accurate detection of such motion artifacts isessential to improve the SNR. In this paper, we propose a method based on the continuous wavelet transform to automaticallydetect and localize the motion artifacts. We validated the efficacy of the method on simulated and real fNIRS signals.

component , continuous wavelet transform , functional near-infrared spectroscopy , motion artifact